Robustness of Deep Learning Algorithm to Varying Imaging Conditions in Detecting Low Contrast Objects in Computed Tomography Phantom Images: In Comparison to 12 Radiologists

Robustness of Deep Learning Algorithm to Varying Imaging Conditions in Detecting Low Contrast Objects in Computed Tomography Phantom Images: In Comparison to 12 Radiologists

The performance of deep learning algorithm (DLA) to that of radiologists was compared in detecting low contrast objects in CT phantom images under various imaging conditions. For training, 10,000 images were created using American College of Radiology CT phantom as the background. In half of the ima...

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Bibliographic Details
Main Authors: Hae Young Kim, Kyeorye Lee, Won Chang, Youngjune Kim, Sungsoo Lee, Dong Yul Oh, Leonard Sunwoo, Yoon Jin Lee, Young Hoon Kim
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Diagnostics
Subjects:
deep learning
tomography
X-ray computed
phantoms
imaging
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/11/3/410

Internet

https://www.mdpi.com/2075-4418/11/3/410

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